Departmental Curriculum Committee (DCC)

E-mail: dcc@cds.iisc.ac.in.

Chair: 

Members:

 

Photo of Sashikumaar Ganesan
Sashikumaar Ganesan
Assistant Professor
Work Room No: 207 Website: Faculty Website: Lab
  • Numerical analysis, Finite element methods, Multiscale methods, Stabilization methods, Multigrid methods, Parallel algorithms with applications to Free surface and Multi-phase flows, Flows with surfactants, Impinging droplet, Bio-medical flows, Population balance systems in time-dependent domains. In-house parallel finite element package, MooNMD, for 2D, 3D incompressible Navier-Stokes and scalar equations in stationary/ moving domains
Photo of Atanu Mohanty
Atanu Mohanty
Associate Professor
Work Room No: 321 Website: Faculty
  • Computational Electrodynamics, Block Design Programs, Ultrasonic instrumentation and signal processing
Photo of Debnath Pal
Debnath Pal
Professor
Work Room No: 306 Work Phone: +91 (80) 2293-2901 Website: Faculty
  • Genome-wide function annotation, interaction networks in biology, protein structure and conformation, protein-ligand and protein-protein interaction, drug discovery.
Photo of Venkatesh Babu R
Venkatesh Babu R
Associate Professor
Work Room No: 214 Website: Faculty Website: Lab
  • Video Analytics, Multimedia, Image/Video Processing, Compression, Compressed Domain Processing, Computer Vision and Machine Learning
Photo of Soumyendu Raha
Soumyendu Raha
Professor
Work Room No: 307 Website: Faculty
  • Simulation, Control and Optimization of Constrained Dynamical Systems, Stochastic and Deterministic Differential-algebraic equation systems, Mathematical Libraries, VLSI CAD applications.
Photo of Yogesh Simmhan
Yogesh Simmhan
Assistant Professor
Work Room No: 206 Cell Phone: +91 9790750137 Skype: simmhan Website: Faculty Website: Lab
  • Abstractions, algorithms and applications on distributed data and computing systems. Cloud computing, scalable computing, distributed data and metadata management & software cyber-infrastructure for eScience and eEngineering. Advance fundamental knowledge, and offer a practitioner's insight, on building scalable, resilient systems to empower Big Data applications.